Digital Content Compression Rules for Cloud Storage Recovery
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Solution Overview
Problem
Cloud service providers face challenges in managing storage capacity as high-quality digital content increases in size, often leading to deletion of user content to recover space, which is not desirable for users.
Innovation Solution
An apparatus and method that determine eligible digital content elements for compression based on characteristics such as age, popularity, and storage capacity, applying customizable compression rates to reduce file size without deleting content, using a processor and memory with executable code to identify and compress eligible content elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If cloud service providers delete user digital content, then storage capacity is recovered, but user content retention is lost
Solution Approach 1:
The patent applies parameter changes by transforming the storage state of digital content through compression. Instead of deleting content to free space, the system compresses content elements, changing their storage parameters (file size) while retaining the actual content. This resolves the contradiction by recovering storage capacity without losing user information.
Solution Approach 2:
The patent extracts redundant or less important data from digital content elements during compression. By removing unnecessary or duplicative information while preserving essential content, the system recovers storage space without complete content loss, addressing both storage capacity needs and content retention requirements.
2Quantity of substance
If compression is applied to digital content, then storage capacity is recovered, but content quality may deteriorate
Solution Approach 1:
The patent applies partial compression action by selectively compressing only certain content elements based on criteria such as age, access frequency, and file type. Not all content is compressed uniformly - the system applies compression selectively to recover storage capacity while minimizing quality impact on frequently accessed or important content.
Solution Approach 2:
The patent implements local quality preservation by applying different compression strategies to different content elements based on their specific characteristics. Important or frequently accessed content receives less aggressive compression or no compression, while less critical content undergoes higher compression, thus maintaining overall quality where it matters most.
3Ease of operation
If automatic compression management is implemented, then manual user intervention is reduced, but system complexity increases
Solution Approach 1:
The patent implements self-service automation where the compression management system operates autonomously based on predefined criteria and user preferences. The system automatically identifies eligible content, applies appropriate compression, and manages storage without requiring continuous manual user intervention, thereby improving ease of operation despite increased system complexity.
Solution Approach 2:
The patent applies preliminary action by establishing compression rules, thresholds, and preferences in advance before compression needs to occur. Users pre-configure their compression preferences and the system pre-identifies eligible content, so that when compression is needed, the process can proceed automatically without complex real-time decision-making, reducing operational complexity.
Data Source
AI summary
Apparatuses, methods, systems, and program products are disclosed for managing storage of digital content. An eligibility module determines one or more content elements that are eligible for compression. A content element is determined to be eligible for compression based on one or more characteristics of the content element. A rate module determines a compression rate for each of the one or more content elements. The compression rate comprises an amount of compression to be applied to a content element. The amount of compression to be applied to the content element is determined as a function of one or more characteristics of the content element. A compression module compresses each of the one or more eligible content elements according to the determined compression rate.